From Open Data To Ai-Driven Early Warnings: A Collective Intelligence System For Managing Corruption Risk In Infrastructure

This article presents a focused excerpt from the doctoral research “A Collec-tive Intelligence–Based System for Corruption Risk Management in the In-frastructure Sector,” specifically the public communication and civic over-sight component operationalized through a dashboard designed for social media dissemination. The purpose of this excerpt is to demonstrate how arti-ficial intelligence—for instance, through predictive analytics, anomaly detec-tion, and risk modeling—can transform procurement data into early-warning signals that are intelligible, useful, and actionable for non-technical audienc-es, thereby strengthening civic oversight and accountability. The approach is anchored in SECOP II, Colombia’s transactional public procurement platform, which enables online management of contracting pro-cesses and provides a public-facing view for third-party monitoring, thereby serving as a backbone for traceability and citizen scrutiny. Building on this foundation, the dashboard translates risk signals into visual narratives (e.g., indicators, traffic-light schemes, rankings, and outlier patterns) ready for dis-semination on social networks, helping shift from merely “publishing infor-mation” to prevention and prioritization—namely, identifying which con-tracts, processes, or behaviors warrant early attention. The Colombian context further underscores the relevance of this work, public procurement carries substantial macroeconomic weight (the OECD re-ports that in 2019 it accounted for 11.4% of GDP), meaning that any im-provement in early detection and transparency can materially affect spending efficiency and institutional trust. Moreover, international indicators point to a persistent challenge: Colombia scored 39/100 in the 2024 Corruption Percep-tions Index, followed by a reported decline to 37/100 (as reflected in the as-sessment published in February 2026). Overall, this article argues that artificial intelligence, collective intelli-gence, and open-data interoperability—supported by ecosystems such as SECOP II and related open datasets—can become a tangible digital-government capability, enabling continuous monitoring, informing audit pri-oritization, and fostering an evidence-based public conversation about cor-ruption risks in infrastructure.